Interactive Power BI dashboard analyzing credit card transactions to uncover spending patterns, customer insights, and key financial KPIs for data-driven decision-making.
📊 End-to-end data analytics project analyzing a bank’s loan portfolio to identify profitable segments, high-risk borrowers, and strategic insights using Python, Jupyter Notebook, and data visualization.
A complete Power BI Student Result Analysis Dashboard with toppers, KPIs, subject insights, mark ranges, and data modeling using Excel, Power Query & DAX.
Interactive Power BI dashboard analyzing telecom customer churn, behavior patterns, and retention insights using KPIs, DAX, and visual analytics. Includes churn reasons, customer segmentation, and service-wise churn trends.
End-to-end sales revenue forecasting with business decision insights using Python, SQLite, and Streamlit
Power BI dashboard analyzing Plant Co.’s Sales, Quantity & Gross Profit with YTD vs PYTD insights.
End-to-end data analytics project using Python, SQL, PostgreSQL, and Tableau. Includes full pipeline (RAW → STAGING → DIM/FACT) and two interactive dashboards.
end-to-end data analytics project for restaurant & business insights
Excel-based data analysis project exploring student performance using PivotTables, PivotCharts, KPIs, and an interactive dashboard.
Power BI dashboard analyzing ecommerce sales performance
Power BI dashboard analyzing lifestyle, diet, and fitness patterns using Excel-cleaned dataset. Includes data prep, DAX metrics, and interactive report.
End-to-end SQL project analyzing job salaries and skill demand to uncover high-value, career-optimal skills using relational data and analytical queries.
This project explores neighbourhood dynamics, pricing behaviour & host performance of Airbnb in Brisbane
End-to-end Traffic Accident Data Analytics project using Python, Jupyter Notebook, and Power BI. Includes data cleaning, EDA, summary tables, and an interactive dashboard for accident insights in Indian cities.
Walmart Data Analysis is an end-to-end project using Python and SQL to clean, transform, and analyze Walmart sales data. It answers key business questions on revenue, sales trends, payment methods, customer behavior, and profit analysis using MySQL and PostgreSQL.
Data-driven analysis of ~300K Washington D.C. crime records using Python/R to uncover spatial hotspots, temporal trends, and actionable insights for improved resource allocation.
Real-world open data analysis using Excel pivots, visuals, and insights.
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